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An investigation of customers’ intention to use self-collection services for last-mile delivery

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  • Yuen, Kum Fai
  • Wang, Xueqin
  • Ng, Li Ting Wendy
  • Wong, Yiik Diew

Abstract

Anchored on Innovation Diffusion Theory (IDT), this paper analyses customers' intention to use self-collection as a last-mile delivery method. Characteristics of innovation were hypothesised to be key factors influencing customers' intention to use self-collection services. Demographic characteristics were also tested. Survey data were collected from 164 consumers located in Singapore and analysed using hierarchical regression analysis. The results show that among the five key characteristics of innovation, relative advantage, compatibility and trialability positively influence customers' intention to use self-collection services. It is also found that the pre-eminent step to improve customers' intention is to integrate self-collection into consumers’ lifestyle, values and needs. In addition, self-collection services should be marketed in a manner that confers a clear advantage over other last-mile delivery methods. This paper enriches the literature on IDT as well as the management and design of self-collection services for last-mile delivery.

Suggested Citation

  • Yuen, Kum Fai & Wang, Xueqin & Ng, Li Ting Wendy & Wong, Yiik Diew, 2018. "An investigation of customers’ intention to use self-collection services for last-mile delivery," Transport Policy, Elsevier, vol. 66(C), pages 1-8.
    • Handle: RePEc:eee:trapol:v:66:y:2018:i:c:p:1-8
    DOI: 10.1016/j.tranpol.2018.03.001
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    References listed on IDEAS

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    1. Park, Hyeongjun & Park, Dongjoo & Jeong, In-Jae, 2016. "An effects analysis of logistics collaboration in last-mile networks for CEP delivery services," Transport Policy, Elsevier, vol. 50(C), pages 115-125.
    2. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    3. Holguín-Veras, José & Amaya Leal, Johanna & Seruya, Barbara B., 2017. "Urban freight policymaking: The role of qualitative and quantitative research," Transport Policy, Elsevier, vol. 56(C), pages 75-85.
    4. Niels Agatz & Ann Campbell & Moritz Fleischmann & Martin Savelsbergh, 2011. "Time Slot Management in Attended Home Delivery," Transportation Science, INFORMS, vol. 45(3), pages 435-449, August.
    5. Cheng, Yung-Hsiang & Tseng, Wei-Chih, 2016. "Exploring the effects of perceived values, free bus transfer, and penalties on intermodal metro–bus transfer users' intention," Transport Policy, Elsevier, vol. 47(C), pages 127-138.
    6. Chen, Quanquan & Conway, Alison & Cheng, Jialei, 2017. "Parking for residential delivery in New York City: Regulations and behavior," Transport Policy, Elsevier, vol. 54(C), pages 53-60.
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